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Recurrent Neural Networks and Bowtie Project
Recurrent Neural Networks and Bowtie Project
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Reinforcement Learning
Reinforcement Learning
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Machine Learning Potentials in Molecular Dynamics
Machine Learning Potentials in Molecular Dynamics
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Atomistic Descriptors and Ontologies
Atomistic Descriptors and Ontologies
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Neural Networks: Image Classification
Neural Networks: Image Classification
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Neural Networks: Training
Neural Networks: Training
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Random Forests, Neural Networks I
Random Forests, Neural Networks I
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Gradient Boosted Random Forests
Gradient Boosted Random Forests
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Active Learning and Decision Trees
Active Learning and Decision Trees
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Gaussian Process Regression and Active Learning
Gaussian Process Regression and Active Learning
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Evaluation of Classifiers, Gaussian Process Regression
Evaluation of Classifiers, Gaussian Process…
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Evaluation of Classifiers
Evaluation of Classifiers
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Compressed Sensing, Support Vector Machines
Compressed Sensing, Support Vector Machines
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Usage of NOMAD database and API
Usage of NOMAD database and API
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Principal Component Analysis, NNMF
Principal Component Analysis, NNMF
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Clustering: K nearest neighbors, K means, DBSCAN
Clustering: K nearest neighbors, K means, DBSCAN
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K nearest neighbors regression
K nearest neighbors regression
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Normalization, Cross Validation, Kernel Ridge Regression
Normalization, Cross Validation, Kernel Ridge…
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Models and Hands-on: Classification, Training, Evaluation
Models and Hands-on: Classification, Training,…
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Hands-on and Models: Linear regression, Evaluation, Feature Engineering/Descriptor selection (LASSO), Tuning and Model selection
Hands-on and Models: Linear regression,…
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Hands-on and Models: Linear regression,
Hands-on and Models: Linear regression
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Data curation; FAIR principles; Hands-on: pandas
Data curation; FAIR principles; Hands-on: pandas
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Data: Data types, data sources, cleanup, preparation, curation
Data: Data types, data sources, cleanup,…
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Random numbers, Hands-on: Linear Algebra and Statistics with Python
Random numbers, Hands-on: Linear Algebra and…
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Deployment, Introduction: Python/Jupyter, numpy
Deployment, Introduction: Python/Jupyter, numpy
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Overview: Supervised, Unsupervised, Reinforcement Learning
Overview: Supervised, Unsupervised, Reinforcement…
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Course Outline, Computer Environment, Statistics
Course Outline, Computer Environment, Statistics
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